The Experts below are selected from a list of 23628 Experts worldwide ranked by ideXlab platform
S N Azamali - One of the best experts on this subject based on the ideXlab platform.
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open data to support Agricultural Diversification version october 2020
Data in Brief, 2021Co-Authors: Nur Marahaini Mohd Nizar, Eranga M. Wimalasiri, Ebrahim Jahanshiri, Siti Sarah Mohd Sinin, Tengku Adhwa Syaherah Tengku Mohd Suhairi, P J Gregory, S N AzamaliAbstract:Abstract Following the development of a database that was specifically designed to store value chain information, particularly for underutilised crops, this article describes the data that are currently stored in the database and accessible through its web portal. The data includes various datasets on utilisation status, agro-ecological requirements and season lengths, potential yield and nutritional composition of crops. The data are stored in the form of tables with fixed data elements (column attributes). This article outlines the standard procedures (SOPs) that were developed in-house for data collection, metadata creation and data curation. These processes were used to ensure the quality and reusability of the data that is made available publicly through the database interface. Various statistics and example visualisations are provided to demonstrate the significance of such data for developing solutions for sustainable Agricultural Diversification.
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a land evaluation framework for Agricultural Diversification
Sustainability, 2020Co-Authors: Ebrahim Jahanshiri, Eranga M. Wimalasiri, Nur Marahaini Mohd Nizar, Tengku Adhwa Syaherah Tengku Mohd Suhairi, P J Gregory, Ayman Salama Mohamed, S N AzamaliAbstract:Shortlisting ecologically adaptable plant species can be a starting point for Agricultural Diversification projects. We propose a rapid assessment framework based on an ecological model that can accelerate the evaluation of options for sustainable crop Diversification. To test the new model, expert-defined and widely available crop requirement data were combined with more than 100,000 occurrence data for 40 crops of different types (cereals, legumes, vegetables, fruits, and tubers/roots). Soil pH, texture, and depth to bedrock data were obtained and harmonised based on the optimal rooting depths of each crop. Global baseline temperature and rainfall data were used to extract averages at each location. To evaluate the ability of the method to capture intraspecies variation, a test was performed using more than 1000 accession records of bambara groundnut (Vigna subterranea (L.) Verdc.) as an exemplar underutilised crop. Results showed that a suitability index based on soil pH and an index that combines the thermal suitability moderated by the soil pH, texture, and depth suitability have the potential to predict crop adaptability. We show that the proposed method can be combined with traditional land use and crop models to evaluate Diversification options for sustainable land and agrobiodiversity resources management.
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Agricultural Diversification the potential for underutilised crops in africa s changing climates
Rivista di biologia, 2007Co-Authors: S N AzamaliAbstract:Two of the greatest challenges currently facing humanity are the potential consequences of climate change and the actual consequences of reduced Agricultural diversity. This paper considers the consequences of both climate change and reduced Agricultural diversity on global food security and nutrition. The inextricable link between climate change and crop diversity is examined, particularly in the context of crop production in Africa where most Agricultural diversity exists and where climate change will have most impact. The Green Revolution, often seen as a model for increasing global Agricultural productivity, is reconsidered in terms of its failure to make a significant impact in hostile tropical environments such as those of much of Africa. An alternative or, at least, a complementary strategy, is advocated where we might better harness the huge repository of indigenous plant species cultivated and conserved by local communities for many generations across variable climates. An example is given of multidisciplinary research on bambara groundnut (Vigna subterranea), an ancient grain legume grown, cooked, processed and traded mainly by subsistence women farmers in sub-Saharan Africa. The experience gained on bambara groundnut is considered as a basis for similar efforts on many other potentially useful underutilised food crops in the climates of the future.
Matthew Gorton - One of the best experts on this subject based on the ideXlab platform.
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Agricultural adjustment and the Diversification of farm households and corporate farms in central europe
Journal of Rural Studies, 2004Co-Authors: Hannah Chaplin, Sophia Davidova, Matthew GortonAbstract:Abstract Survey evidence from three Central European Countries (Czech Republic, Hungary and Poland) is analysed to identify the degree of non-Agricultural farm Diversification and the factors facilitating or impeding it in individual and corporate farms. The effect of Diversification on rural job creation and household incomes is investigated. The results indicate that the level of Diversification is relatively small and enterprise Diversification by farmers is unlikely to generate sufficient new jobs to solve the problem of high rural unemployment. The attempt to transpose the West European model of Agricultural Diversification to the associated countries via the SAPARD programme is questionable, as non-farm centric rural policies appear to be more appropriate.
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non Agricultural Diversification of farm households and corporate farms in central europe
Workshop on the Farm Household-Firm Unit: Its Importance in Agriculture and Implications for Statistics April 12-13 2002 Wye Campus Imperial College, 2002Co-Authors: Hannah Chaplin, Sophia Davidova, Matthew GortonAbstract:The authors are grateful to Jerzy Wlikin, Dominka Miczarek, Adriana Lukaszewicz, Tomas Doucha, Zdena Cihelkova, Ladislav Jelinek, Katerina Nucova, Tibor Ferenzi, Gyula Modos, Maria Kyostal, Tamas Mizik, and Peter Csillag who organised the data collection and provided insights into the studied regions.
Leonardo Izquierdomontoya - One of the best experts on this subject based on the ideXlab platform.
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Agricultural Diversification and economic growth in ecuador
Sustainability, 2018Co-Authors: Jennypher Pacheco, Wilmansantiago Ochoamoreno, Jenny Ordonez, Leonardo IzquierdomontoyaAbstract:The purpose of this article is to analyze the relationship between economic growth (measured by economic, social, and financial variables) and the Agricultural productive structure, as well as its possibilities for Diversification, in Ecuador’s 23 provinces in the year 2014. First, we constructed the Shannon-Weaver index. We then used the graphic cartograms method to select relationships between variables. Next, we calculated the Pearson coefficient and the covariance, which revealed the linear association among the study’s variables. This methodology led us to conclude that several variables (the gross added value of only agriculture, the average total household income, and the economically active population) have a positive influence on Agricultural Diversification; each province’s overall gross added value, while the level of education, the unemployment rate, and the volume of credit had a negative influence.
Mario Herrero - One of the best experts on this subject based on the ideXlab platform.
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Agricultural Diversification as an important strategy for achieving food security in africa
Global Change Biology, 2018Co-Authors: Katharina Waha, Mark T Van Wijk, Steffen Fritz, Linda See, Philip K Thornton, Jannike Wichern, Mario HerreroAbstract:Farmers in Africa have long adapted to climatic and other risks by diversifying their farming activities. Using a multi-scale approach we explore the relationship between farming diversity and food security and the Diversification potential of African agriculture and its limits on the household and continental scale. On the household scale we use Agricultural surveys from more than 28,000 households located in 18 African countries. In a next step we use the relationship between rainfall, rainfall variability and farming diversity to determine the available Diversification options for farmers on the continental scale. On the household scale, we show that households with greater farming diversity are more successful in meeting their consumption needs, but only up to a certain level of diversity per ha cropland and more often if food can be purchased from off-farm income or income from farm sales. More diverse farming systems can contribute to household food security, however the relationship is influenced by other factors e.g. the market-orientation of a household, livestock ownership, non-Agricultural employment opportunities and available land resources. On the continental scale, the greatest opportunities for Diversification of food crops, cash crops and livestock are located in areas with 500-1000mm annual rainfall and 17-22% rainfall variability. Forty three percent of the African cropland lacks these opportunities at present which may hamper the ability of Agricultural systems to respond to climate change. While sustainable intensification practices that increase yields have received most attention to date, our study suggests that a shift in the research and policy paradigm towards Agricultural Diversification options may be necessary.
Ebrahim Jahanshiri - One of the best experts on this subject based on the ideXlab platform.
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open data to support Agricultural Diversification version october 2020
Data in Brief, 2021Co-Authors: Nur Marahaini Mohd Nizar, Eranga M. Wimalasiri, Ebrahim Jahanshiri, Siti Sarah Mohd Sinin, Tengku Adhwa Syaherah Tengku Mohd Suhairi, P J Gregory, S N AzamaliAbstract:Abstract Following the development of a database that was specifically designed to store value chain information, particularly for underutilised crops, this article describes the data that are currently stored in the database and accessible through its web portal. The data includes various datasets on utilisation status, agro-ecological requirements and season lengths, potential yield and nutritional composition of crops. The data are stored in the form of tables with fixed data elements (column attributes). This article outlines the standard procedures (SOPs) that were developed in-house for data collection, metadata creation and data curation. These processes were used to ensure the quality and reusability of the data that is made available publicly through the database interface. Various statistics and example visualisations are provided to demonstrate the significance of such data for developing solutions for sustainable Agricultural Diversification.
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Crop model ideotyping for Agricultural Diversification
'Elsevier BV', 2021Co-Authors: Eranga M. Wimalasiri, Ebrahim Jahanshiri, Vimbayi Chimonyo, Sayed N. Azam-ali, Peter J. GregoryAbstract:Evidence based crop Diversification requires modelling for crops that are currently neglected or underutilised. Crop model calibration is a lengthy and resource consuming effort that is typically done for a particular variety or a set of varieties of a crop. Whilst calibration data are widely available for major crops, such data are rarely available for underutilised crops due to limited funding for detailed field data collection and model calibration. Subsequently, the lack of evidence on their performance will lead to the lack of interest from the policy and regulatory communities to include these crops in the Agricultural development plans. In order to motivate further research into the use of state of the art techniques in modelling for less known crops, we have developed and validated an ideotyping technique that approximates the crop modelling parameters based on already calibrated crops of different lineage. The method has been successfully tested for hemp (Cannabis sativa L.) based on a well-known crop model. In this paper we present the method and provide an impetus on the way forward to further develop such methods for modelling the performance of minor crops and their varieties. • The approach works based on modelling the performance of hemp using the knowledge from an existing model that was developed for sugar cane. • The customisation uses one of the most prominent models (AquaCrop) to approximate growth coefficients for hemp (Cannabis sativa L.). • A sequential procedure was used to approximate the phenological stages in the growth model that performs well in the calibration and validation steps
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underutilised crops database for supporting Agricultural Diversification
Computers and Electronics in Agriculture, 2021Co-Authors: Nur Marahaini Mohd Nizar, Eranga M. Wimalasiri, Ebrahim Jahanshiri, Siti Sarah Mohd Sinin, Tengku Adhwa Syaherah Tengku Mohd Suhairi, Anil Shekar Tharmandram, Ayman Salama, Nurul Jannah Abdullah, Husna Zolkepli, Hilda HussinAbstract:Abstract Digital agriculture is driven by the interrelated needs to increase crop production, develop sustainable food systems and cope with the global change. Databases exist for several major crops but a barrier to increasing agrobiodiversity is the lack, and dispersed nature, of information for variously termed minor, orphan or underutilised crops. In this article, we describe an attempt to build a globally accessible database that can be used to store information for underutilised crops. A relational data model was adopted due to its robustness in terms of prototyping and building user interfaces for data governance and dissemination. We have reviewed the design of related Agricultural databases, data standards and crop Diversification priorities, to build a data model that encompasses major elements of the value chain of crops in the food system. Due to the importance of data accuracy, we added a metadata table that stores information about the sources of all data recorded in the database. We also built a web-based user interface for data management and access. The open-access user interface allows simple data sorting and filtering operations based on the user's needs. As an example of potential use, data were used to build an automated crop selection tool that could shortlist suitable crops based on location at global scale. Other use-cases are discussed including the development of metrics, indicators for the United Nations Sustainable Development Goals and developing bespoke Diversification solutions.
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a land evaluation framework for Agricultural Diversification
Sustainability, 2020Co-Authors: Ebrahim Jahanshiri, Eranga M. Wimalasiri, Nur Marahaini Mohd Nizar, Tengku Adhwa Syaherah Tengku Mohd Suhairi, P J Gregory, Ayman Salama Mohamed, S N AzamaliAbstract:Shortlisting ecologically adaptable plant species can be a starting point for Agricultural Diversification projects. We propose a rapid assessment framework based on an ecological model that can accelerate the evaluation of options for sustainable crop Diversification. To test the new model, expert-defined and widely available crop requirement data were combined with more than 100,000 occurrence data for 40 crops of different types (cereals, legumes, vegetables, fruits, and tubers/roots). Soil pH, texture, and depth to bedrock data were obtained and harmonised based on the optimal rooting depths of each crop. Global baseline temperature and rainfall data were used to extract averages at each location. To evaluate the ability of the method to capture intraspecies variation, a test was performed using more than 1000 accession records of bambara groundnut (Vigna subterranea (L.) Verdc.) as an exemplar underutilised crop. Results showed that a suitability index based on soil pH and an index that combines the thermal suitability moderated by the soil pH, texture, and depth suitability have the potential to predict crop adaptability. We show that the proposed method can be combined with traditional land use and crop models to evaluate Diversification options for sustainable land and agrobiodiversity resources management.